Generative AI for Content Creation

Last year, the film development and production company End Cue produced a short film, called Sunspring, that was entirely written by an artificial intelligence using neural networks. More specifically, it was authored by a recurrent neural network (RNN) called long short-term memory (LSTM). According to End Cue’s Chief Technical Officer, Deb Ray, the company has come a long way in improving the generative AI aspect of the bot. In this episode, Deb Ray joins host Kyle Polich to discuss how generative AI models are being applied in creative processes, such as screenwriting. Their discussion also explores how data science for analyzing development projects, such as financing and selecting scripts, as well as optimizing the content production process.

Guest

Deb Ray: Debajyoti (Deb) Ray and his team of Data Scientists and Engineers are building End Cue’s AI platform for analyzing and generating original content. Previously, Deb was the Chief Data Officer for VideoAmp, a cross-screen digital video, and TV advertising platform, where he continues to serve as an Advisor. Before that, he was the Chief Scientist at Pasadena Labs, where he built a ML-based hyperlocal ad platform used by clients such as Microsoft and IAC. He developed computer vision products at Microsoft Research and worked on Machine Learning for high-frequency trading. Deb is also a fund-advisor and L.P. at Signalfire, a VC firm in San Francisco. He completed his Ph.D. at Caltech in Computation and Neural Systems, has been awarded several patents, and his publications are highly cited.